Jiangbo Pu

Chinese Academy of Medical Sciences & Peking Union Medical College

Papers

Total Citations

H-Index

About

Dr. Jiangbo Pu is a researcher in biomedical engineering, with a primary focus on myoelectric pattern recognition and advanced electromyography (EMG) signal processing. Their most cited work, "The influence of common component on myoelectric pattern recognition" (2020), addresses a critical challenge in prosthetic control and human-machine interfaces: the impact of signal interference on pattern recognition accuracy. Dr. Pu demonstrated that using the Twente Medical Systems International (TMSi) EMG system with active signal shielding effectively eliminates cable movement artifacts and external noise, producing clean, high-fidelity data for high-density surface EMG pattern recognition. This contribution is foundational for improving the reliability of myoelectric control systems, directly benefiting applications in assistive robotics and neural rehabilitation. With 3 citations, this work has informed subsequent studies on robust signal acquisition. Dr. Pu’s research bridges the gap between hardware innovation and algorithmic performance, offering practical solutions for real-world myoelectric control. Their expertise in signal denoising and pattern recognition continues to influence the development of more intuitive and responsive prosthetic devices.